Elastic N.V. (ESTC) Q4 2026 Earnings Call Transcript
Elastic N.V. reported its Q4 2026 earnings, showcasing a positive performance. The company achieved an EPS of $0.61, surpassing expectations by $0.05, and generated revenue of $450.68 million, reflecting a year-over-year increase of 16.03%. This earnings call included insights from key executives and analysts discussing the company's financial health and future outlook.
- ▪Elastic N.V. reported an EPS of $0.61, beating estimates by $0.05.
- ▪The company's revenue for Q4 2026 was $450.68 million, exceeding expectations by $4.48 million.
- ▪Year-over-year revenue growth was recorded at 16.03%.
- ▪The earnings call featured discussions from the CEO and CFO, along with various analysts.
- ▪The call took place on May 28, 2026, at 5:00 PM EDT.
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| Original publisher | Seeking Alpha |
| Canonical URL | https://seekingalpha.com/article/4909854-elastic-n-v-estc-q4-2026-earnings-call-transcript?source=feed_all_articles |
| Publication time | Fri, 29 May 2026 05:14:09 -0400 |
| Retrieval time | 2026-05-29T09:19:59.862Z |
| Last seen | 2026-05-29T09:19:59.862Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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